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Mission

The mission of the Center for Disease and Vector Research is to develop and implement technologies that will alleviate the medical and economic burden exacted by infectious diseases and vector-borne diseases in human and plants. The Center achieves this through cross-disciplinary research by combining expertise in molecular biology, nanotechnology, gene silencing and the genomics-based sciences with expertise in insect pest control. Our goal is to provide practical solutions within therapeutic and economic time frames.

Training:
Analysis of Drug-like Small Molecules and High-Throughput Screens with R/Bioconducto-Bioinformatics Workshop

Tyler Backman & Thomas Girke

Monday, December 16, 20139 a.m.–Noon

Location:

Description:

Description: This workshop introduces various R packages useful for analyzing drug-like compound and screening data sets. This includes the packages ChemmineR, ChemmineOB, fmcsR, eiR and bioassayR. Efficient R functions will be introduced for handling/analyzing SDF/MOL files, interfacing with PubChem, structural similarity searching, clustering of compound libraries with a wide spectrum of algorithms and utilities for managing complex compound data sets. In addition, visualization functions for compound clusters and chemical structures will be introduced. The last part will cover the analysis of large publicly available high-throughput screening data sets like PubChem BioAssay. Basic knowledge of the R software, as introduced in the "Introduction to R" tutorial, will be expected in this workshop.
Maximum number of participants: 40
[ Schedule and Teaching Material ] How to sign up: send chosen workshop date, your name, email address, title of your position, lab affiliation (PI) and department information to thomas.girke@ucr.edu. Registration fee*: no charge for participants from registered labs, $23 for UCR members, $75 for participants from external academic institutions, and $102 for participants from commercial organizations and academic institutions outside of the US.Laptop requirements: Participants will work during the course from their own laptops (Win, Mac or Linux). The laptops should have R, the required libraries and exercise data sets pre-installed. The installation instructions for the R software are provided on the installation page of the manual. A functional wireless connection is recommended, but not essential.